Inspiration
We tried finding problems that were close to us. That led us to inconveniences in time efficiency.
What it does
Takes the data from the past and now. By looking at the data, we can predict the best solution.
How we built it
First we made a data generator to get realistic data. Then from the given data, we drew graphs. By looking at the graphs we got the best possible solution.
Challenges we ran into
First it was hard to find realistic data that was related to our topic (Laundry, Gym, Dining hall). So we had to generate our data ourselves. Secondly, we had a hard time accumulating the data. In order to predict the future precisely we need to have a good amount of accumulated data. While focused in coding and web making we didn't even realize to accumulate the data and it also took a long time deriving the algorithm.
Accomplishments that we're proud of
Generating the data ourselves, an aesthetic web design, great teamwork, able to make what we thought of.
What we learned
How to make webs, how to make predictions by the given data.
What's next for Bing Off- peak
Making the website more interactive.
Built With
- css
- html
- machine-learning
- matplotlib
- numpy
- python
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